Document Zbl 1017.93063

Zhang, P.; Ding, S. X.; Wang, G. Z.; Zhou, D. H.

Fault detection for multirate sampled-data systems with time delays. (English) Zbl 1017.93063

Int. J. Control 75, No. 18, 1457-1471 (2002).

The authors are concerned with fault detection problems for the MSD (multirate samped-data) systems with time delays in a general setting. The main purpose of the paper is to design an optimal fault detection system that achieves the best trade-off between the sensitivity of the fault detection system to the faults and its robustness to the unknown inputs. The authors restrict their attention to the optimal design of the residual generator which takes into account the intersample behaviour, the multirate nature, and the time delays in the control input and process output channels of the system. Two illustrative examples are discussed where first an MSD system without delays and then an MSD system with delays are studied.

Reviewer: Svitlana P.Rogovchenko (Famagusta)

Cited in 11 Documents

MSC:

93C57	Sampled-data control/observation systems
93B51	Design techniques (robust design, computer-aided design, etc.)
90B25	Reliability, availability, maintenance, inspection in operations research
93B35	Sensitivity (robustness)

Keywords:

multirate sampled-data systems; fault detection and isolation problem; time delay; optimal design; residual generator; sensitivity; robustness; intersample behaviour

Software:

MR and LTV Synthesis Tools

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Full Text: DOI

References:

[1]	DOI: 10.1080/00207178608933692 · Zbl 0613.93040 · doi:10.1080/00207178608933692
[2]	CHEN J., Robust Model-based Fault Diagnosis for Dynamic Systems (1999) · Zbl 0920.93001 · doi:10.1007/978-1-4615-5149-2
[3]	CHEN T. W., Optimal Sampled-Data Control Systems (1995) · Zbl 0847.93040 · doi:10.1007/978-1-4471-3037-6
[4]	DOI: 10.1109/TAC.1984.1103593 · Zbl 0542.90040 · doi:10.1109/TAC.1984.1103593
[5]	COLANERI P., Control and Dynamic Systems 71 pp 95– (1995)
[6]	DING, S. X., DING, E. L. and JEINSCII, T. An approach to a unified design of FDl systems. Proceedings of the 3rd Asian Control Conference. Shanghai. PR China. pp.3302–3306.
[7]	FADALI, M. S. and LIU, W. Fault detection for systems with multirate sampling. Proceedings of the American Control Conference. Philadelphia, PA. pp.3302–3306.
[8]	FADDALI, M. S. and EMARA-SHABAIK, H. E. Robust fault detection for a class of multirate linear systems. Proceedings of the American Control Conference. Chicago, IL. pp.1210–1214.
[9]	FADALI, M. S. and LK, W. Observer-based robust fault detection for a class of multirate sampled-data linear systems. Proceedings of the American Control Conference. San Diego, CA. pp.97–98.
[10]	DOI: 10.1016/S0959-1524(97)00016-4 · doi:10.1016/S0959-1524(97)00016-4
[11]	FRANK, P. M., DING, X. and KOEPPEN-SELLIGER, B. Current developments in the theory of FDI. Proceedings of IFAC Symposium SAFEPROCESS’2000. Budapest, Hungary. pp.16–27.
[12]	GIRTLER J. J., Fault Detection and Diagnosis in Engineering Systems (1998)
[13]	HOSOF, S. and KATO, S. Derivation of Hx multirate sampled data suboptimal controllers by making use of Junitary factorization. Proceedings of the American ControlConference. Albuquerque, NM. pp.1754–1755.
[14]	DOI: 10.1016/0016-0032(59)90093-6 · Zbl 0142.07004 · doi:10.1016/0016-0032(59)90093-6
[15]	DOI: 10.1109/TAC.1957.1104783 · doi:10.1109/TAC.1957.1104783
[16]	DOI: 10.1016/S0005-1098(01)00167-4 · Zbl 1031.93121 · doi:10.1016/S0005-1098(01)00167-4
[17]	LIAN, F. L., MOYNL, J. and TILBURY, D. Analysis and modeling of networked control systems: MIMO case with multiple time delays. Proceedings of the American Control Conference. Arlington, VA. pp.4306–4312.
[18]	DOI: 10.1109/TCS.1975.1084020 · doi:10.1109/TCS.1975.1084020
[19]	DOI: 10.1016/0005-1098(93)90098-E · Zbl 0779.93039 · doi:10.1016/0005-1098(93)90098-E
[20]	DOI: 10.1109/9.751347 · Zbl 0958.93031 · doi:10.1109/9.751347
[21]	ROSLNWASSUR E., Computer Controlled Systems-Analysis and Design with ProcessOrientated Models (2000)
[22]	VISWANADHAM, N. and MINTO, K. D. Fault diagnosis in multirate sampled data systems. Proceedings of the 29th Conference on Decision and Control. Honolulu, T.H. pp.3666–3671.
[23]	DOI: 10.1109/37.898794 · doi:10.1109/37.898794
[24]	ZHANG, P., DING, S. X., WANG, G. Z. and ZHOU, D H. An FDI approach for sampled-data systems. Proceedings of the American Control Conference. Arlington, VA. pp.2702–2707.

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